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AWS
This is an introductory course on AWS DeepLens, the world’s first deep-learning enabled video camera.
This is an introductory course on AWS DeepLens, the world’s first deep-learning enabled video camera. This course takes a look at the device’s hardware, its architecture, and the AWS DeepLens sample project templates, which allow you to get started building computer visions applications within minutes. The course wraps up with a closer look into one particular project template, object detection.
Register for this course and see more details by visiting:
OpenCourser.com/course/vuz74e/introduction
What's inside
Syllabus
Introduction to AWS DeepLens
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines object detection, which is essential for computer vision applications
Develops beginner-friendly skills in deep learning and computer vision
Course instructors are recognized for their work in AWS DeepLens
Taught by AWS, who are recognized for their work in cloud computing
Teaches skills and knowledge that are highly relevant to industry
Provides hands-on labs and interactive materials
Save this course
Save Introduction to AWS DeepLens to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to AWS DeepLens with these
activities:
Review AWS Cloud services
Show steps
Familiarize yourself with the basics of AWS to better contextualize topics covered in this course.
Show steps
-
Reread any materials on AWS services you may have covered in previous courses.
-
Practice setting up and configuring an AWS account
Follow tutorials on AWS DeepLens
Show steps
Supplement your learning with additional resources to reinforce concepts.
Show steps
-
Search for tutorials on AWS DeepLens on the AWS website or YouTube
-
Follow the tutorials to learn new skills or reinforce existing ones
Join the AWS DeepLens community
Show steps
Connect with other AWS DeepLens users and experts to expand your knowledge.
Show steps
-
Join the AWS DeepLens community on the AWS website
-
Attend online meetups or webinars hosted by the community
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using AWS DeepLens sample project templates
Show steps
Gain hands-on experience with the AWS DeepLens sample projects.
Show steps
-
Find the AWS DeepLens sample projects on the AWS website
-
Follow the instructions to set up and run the projects
Organize a study group with other course participants
Show steps
Collaborate with peers to reinforce your understanding and learn from each other.
Show steps
-
Reach out to other course participants and invite them to join a study group
-
Schedule regular meetings to discuss course material and work on projects together
Build a simple computer vision application using AWS DeepLens
Show steps
Apply your knowledge of AWS DeepLens and computer vision to a practical project.
Show steps
-
Choose a specific use case for your application
-
Design the architecture of your application
-
Implement the application using AWS DeepLens sample project templates
-
Deploy and test your application
Write a blog post or article about AWS DeepLens
Show steps
Share your knowledge of AWS DeepLens with others and reinforce your learning.
Show steps
-
Choose a topic related to AWS DeepLens
-
Conduct research on the topic
-
Write a blog post or article that shares your knowledge and insights
-
Publish your blog post or article online
Review AWS Cloud services
Show steps
Familiarize yourself with the basics of AWS to better contextualize topics covered in this course.
Show steps
Show steps
Show steps
- Reread any materials on AWS services you may have covered in previous courses.
- Practice setting up and configuring an AWS account
Follow tutorials on AWS DeepLens
Show steps
Supplement your learning with additional resources to reinforce concepts.
Show steps
Show steps
Show steps
- Search for tutorials on AWS DeepLens on the AWS website or YouTube
- Follow the tutorials to learn new skills or reinforce existing ones
Join the AWS DeepLens community
Show steps
Connect with other AWS DeepLens users and experts to expand your knowledge.
Show steps
Show steps
Show steps
- Join the AWS DeepLens community on the AWS website
- Attend online meetups or webinars hosted by the community
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using AWS DeepLens sample project templates
Show steps
Gain hands-on experience with the AWS DeepLens sample projects.
Show steps
Show steps
Show steps
- Find the AWS DeepLens sample projects on the AWS website
- Follow the instructions to set up and run the projects
Organize a study group with other course participants
Show steps
Collaborate with peers to reinforce your understanding and learn from each other.
Show steps
Show steps
Show steps
- Reach out to other course participants and invite them to join a study group
- Schedule regular meetings to discuss course material and work on projects together
Build a simple computer vision application using AWS DeepLens
Show steps
Apply your knowledge of AWS DeepLens and computer vision to a practical project.
Show steps
Show steps
Show steps
- Choose a specific use case for your application
- Design the architecture of your application
- Implement the application using AWS DeepLens sample project templates
- Deploy and test your application
Write a blog post or article about AWS DeepLens
Show steps
Share your knowledge of AWS DeepLens with others and reinforce your learning.
Show steps
Show steps
Show steps
- Choose a topic related to AWS DeepLens
- Conduct research on the topic
- Write a blog post or article that shares your knowledge and insights
- Publish your blog post or article online
Career center
Learners who complete Introduction to AWS DeepLens will develop knowledge and skills
that may be useful to these careers:
Embedded Systems Engineer
Embedded Systems Engineer
Embedded Systems Engineers design, develop, and test embedded systems. DeepLens provides Embedded Systems Engineers with a platform for developing and deploying deep-learning-enabled computer vision applications on embedded devices. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course would be especially useful for an Embedded Systems Engineer who is interested in developing and deploying deep-learning-enabled computer vision applications on AWS DeepLens.
Deep Learning Engineer
Deep Learning Engineer
Deep Learning Engineers design and develop deep learning models and algorithms. DeepLens provides Deep Learning Engineers with a platform to deploy deep learning models in embedded devices using computer vision. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course would be especially useful for a Deep Learning Engineer who is interested in developing and deploying deep-learning-enabled computer vision models on AWS DeepLens.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design and develop software that enables computers to see and interpret images and videos. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. One project template, object detection, is examined more closely. This course would be especially useful for a Computer Vision Engineer who is interested in developing and deploying deep-learning-enabled computer vision applications using AWS DeepLens.
Data Scientist
Data Scientist
Data Scientists collect, analyze, and interpret data to extract meaningful insights and make data-driven decisions. DeepLens provides Data Scientists with a platform to develop and test algorithms for computer vision applications. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Data Scientist, especially one who is interested in developing deep-learning-enabled computer vision applications using AWS DeepLens.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers research, design, develop, and test machine learning models and algorithms. AWS DeepLens provides a platform for deploying machine learning models in embedded devices using computer vision. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Machine Learning Engineer, especially one who is interested in developing and deploying deep-learning-enabled computer vision models on AWS DeepLens.
Software Engineer
Software Engineer
Software Engineers design, develop, and test software applications. AWS DeepLens provides a platform for deploying software applications on embedded devices using computer vision. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Software Engineer, especially one who is interested in developing and deploying deep-learning-enabled computer vision applications on AWS DeepLens.
Business Analyst
Business Analyst
Business Analysts gather and analyze business requirements to define and improve business processes. AWS DeepLens provides Business Analysts with a platform for gathering and analyzing data from deep-learning-enabled computer vision applications. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Business Analyst, especially one who is interested in gathering and analyzing data from deep-learning-enabled computer vision applications on AWS DeepLens.
DevOps Engineer
DevOps Engineer
DevOps Engineers collaborate with development and operations teams to ensure that software applications are delivered and deployed efficiently. AWS DeepLens provides DevOps Engineers with a platform for automating the delivery and deployment of deep-learning-enabled computer vision applications. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a DevOps Engineer, especially one who is interested in automating the delivery and deployment of deep-learning-enabled computer vision applications on AWS DeepLens.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation for a variety of audiences. AWS DeepLens provides Technical Writers with a platform for creating and maintaining technical documentation for deep-learning-enabled computer vision applications. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Technical Writer, especially one who is interested in creating and maintaining technical documentation for deep-learning-enabled computer vision applications on AWS DeepLens.
Technical Support Engineer
Technical Support Engineer
Technical Support Engineers provide technical support to users of software applications. AWS DeepLens provides Technical Support Engineers with a platform for providing technical support to users of deep-learning-enabled computer vision applications. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Technical Support Engineer, especially one who is interested in providing technical support to users of deep-learning-enabled computer vision applications on AWS DeepLens.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate user interfaces for a variety of applications. AWS DeepLens provides User Experience Designers with a platform for designing and evaluating user interfaces for deep-learning-enabled computer vision applications. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a User Experience Designer, especially one who is interested in designing and evaluating user interfaces for deep-learning-enabled computer vision applications on AWS DeepLens.
Solutions Architect
Solutions Architect
Solutions Architects design and implement solutions that meet the needs of their customers. AWS DeepLens provides Solutions Architects with a platform for developing and deploying deep-learning-enabled computer vision solutions. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Solutions Architect, especially one who is interested in developing and deploying deep-learning-enabled computer vision solutions on AWS DeepLens.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software applications to ensure they meet quality standards. AWS DeepLens provides Quality Assurance Analysts with a platform for testing and evaluating deep-learning-enabled computer vision applications. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Quality Assurance Analyst, especially one who is interested in testing and evaluating deep-learning-enabled computer vision applications on AWS DeepLens.
Product Manager
Product Manager
Product Managers define and oversee the development and launch of new products. AWS DeepLens provides Product Managers with a platform for developing and launching new deep-learning-enabled computer vision products. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Product Manager, especially one who is interested in developing and launching deep-learning-enabled computer vision products on AWS DeepLens.
Robotics Engineer
Robotics Engineer
Robotics Engineers research, design, develop, and test robots and autonomous systems. Robots play a crucial role in many industries, and AWS DeepLens gives Robotics Engineers a way to develop and test new solutions for applications such as factory automation, healthcare, and customer service. This course introduces the AWS DeepLens device and its architecture. It also dives into sample project templates that allow you to get started building computer vision applications within minutes. This course may be useful for a Robotics Engineer, especially one who is interested in developing deep-learning-enabled robots and autonomous systems using AWS DeepLens.
For more career information including salaries, visit:
OpenCourser.com/course/vuz74e/introduction
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to AWS DeepLens.
Covers foundational concepts in deep learning such as neural networks, convolutional neural networks, recurrent neural networks, and more. is useful for learners who want to build a strong foundation in deep learning concepts.
Explores machine learning concepts such as supervised and unsupervised learning, feature engineering, and model evaluation. provides insights into how to use Python libraries such as Scikit-Learn, Keras, and TensorFlow for developing machine learning models.
Focuses specifically on deep learning for computer vision tasks. It covers image classification, object detection, image segmentation, and more. provides practical examples and code snippets for implementing computer vision models using deep learning techniques.
A beginner-friendly introduction to deep learning. It uses intuitive explanations and colorful illustrations to make deep learning concepts accessible to a wide audience.
A gentle introduction to machine learning for complete beginners. It starts with the basics of data science and covers topics such as supervised learning, unsupervised learning, and model evaluation.
Provides a broad overview of artificial intelligence, including its history, different approaches, and applications. It's a good choice for learners who want to understand the broader context of deep learning and its place within the field of artificial intelligence.
Focuses on using the R programming language for deep learning. It covers topics such as building and training deep learning models, data preprocessing, and deployment.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vuz74e/introduction
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Time
8 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Examines object detection, which is essential for computer vision applications
Develops beginner-friendly skills in deep learning and computer vision
Course instructors are recognized for their work in AWS DeepLens
Taught by AWS, who are recognized for their work in cloud computing
Teaches skills and knowledge that are highly relevant to industry
Provides hands-on labs and interactive materials
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